Document Type : review article
Authors
1 Professor of Nursing, Department of Pediatric Nursing, School of Nursing and Midwifery, Community Nursing Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.
2 Ph.D Student of Nursing, Student Research Committee, Faculty of Nursing and Midwifery, Zahedan University of Medical Sciences, Zahedan, Iran.
Abstract
Background: Children with cancer face significant physical and psychological challenges that impact their overall well-being and quality of life. The prevalence of childhood cancer is significant. Artificial intelligence (AI) is increasingly being integrated into nursing interventions for children with cancer, enhancing care through various innovative approaches. AI technologies facilitate improved decision-making, patient monitoring, and psychosocial support, ultimately aiming to improve the quality of life of pediatric oncology patients.
Materials and Methods: Data were collected from PubMed, Scopus, SID, Google Scholar and Web of Science databases for articles published between 2019 and 2025. Keywords such as “AI”, “nursing interventions”, “children” and “cancer” were searched. A search strategy was created in PubMed using AI [title/abstract], nursing interventions [title/abstract], children [title/abstract], and cancer [title/abstract].
Results: AI tools can help nurses identify early signs of cancer through analysis of patient data, imaging, and biomarkers, enabling timely interventions. Nurses can use AI-powered simulations to practice complex cancer care scenarios, improving their skills and confidence.
Conclusion: AI nursing interventions promise to revolutionize cancer care by increasing accuracy, efficiency, and patient-centeredness. However, successful integration requires addressing technical, ethical, and practical challenges while ensuring that nurses remain at the forefront of care delivery. By using AI as a complementary tool, nurses can provide more comprehensive, evidence-based care that meets the complex needs of pediatric oncology patients.
Keywords
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